Abstract
Mobile cloud gaming (MCG) can provide users with high-quality gaming services anytime, anywhere, but suffers from long network latency and huge wide-area traffic. In order to solve these problems, mobile edge computing (MEC) is envisioned as a promising approach to enable relevant computing at the edge. Since the quality of experience (QoE) of the game requires high frame rates and low network latency, the placement of service entities can affect the performance of MEC-enabled MCG. In addition, users have a high degree of mobility while enjoying MCG, so service migration is proposed to reduce QoE impairment, and service migration means an increase in system cost. To address these challenges, we investigate the service placement of MEC-enabled MCG. Considering the dynamics of the system, we propose to minimize the QoE impairment according to the constraint cost of migration. We design the ECP algorithm to solve the problem.
This work was supported in part by the National Natural Science Foundation of China under Grant 61662052, in part by the Natural Science Foundation of Inner Mongolia Autonomous Region under Grant 2021MS06002, in part by the Science and Technology Planning Project of Inner Mongolia Autonomous Region under Grant 2021GG0155, and in part by the Major Research Plan of Inner Mongolia Natural Science Foundation under Grant 2019ZD15.
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Gao, Y., Xu, Z. (2022). Improving Gaming Experience with Dynamic Service Placement in Mobile Edge Computing. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473. Springer, Cham. https://doi.org/10.1007/978-3-031-19211-1_50
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DOI: https://doi.org/10.1007/978-3-031-19211-1_50
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